A problem generator that takes an input as a math problem, analyzes the math problem, and intelligently spawns similar example problem types. The output is a set of math problems based on the conditions set during analysis and customization. For example, if the original problem deals with linear equations, this will be detected during analysis and used to spawn other linear equations as problems. Moreover, if the answer to the original problem is in integer format, so will the answers to the spawned problems. A customizable UI is designed to allow further customization of problem conditions to generate an accurate set of problems based on the initial input. Problem generator templates can be created, shared and modified for distribution and/or future use. Additionally, problem generation APIs can be extended for external code to automate and consume generated math problems.